Data-intensive Science - We develop computational tools and infrastructure that can efficiently process large data and help investigators make sense of analysis results. We help lead the development of Galaxy, a Web-based scientific analysis platform that is used by thousands of scientists throughout the world to analyze large biomedical datasets, including genomic, proteomic, metabolomic, and imaging data. We are working to enhance Galaxy through visual analytics, machine learning, and cloud computing.

Molecular Variation and Human Health - We create computational approaches that mine large biomedical datasets to undercover features in the genome or cellular microenvironment that impact human health. Our primary active project is developing approaches for ingesting, processing, storing, modeling, and visualizing clinical, imaging, and molecular data to treat cancer using precision therapies adapted over time.